Educational Assessment: A comprehensive process for evaluating the effectiveness and outcomes of educational programs, methods, and interventions.
This includes assessing student learning, academic achievement, and the overall quality of educational systems.
Educational assessment utilizes a variety of tools and techniques, such as standardized tests, performance-based assessments, and portfolio evaluations, to measure and analyze student progress and inform instructional decisions.
The goal of educational assessment is to enhance teaching and learning, identify areas for improvement, and ensure that educational objecives are being met efectively.
Most cited protocols related to «Educational Assessment»
The performance evaluation form was first developed by our experts in assessments of medical education, based on literature review [30 (link)–32 (link)] and curriculum reform goal of PBL. According to literature, some evaluation form constructed by five aspects, that is the application of knowledge base, clinical reasoning and decision making skills, self-directed learning, collaborative work and attitude during discussion and professionalism. Some included four aspects, that is group skills, learning skills, reasoning and feedback. Some PBL tutorial assessment included four aspects, that is participation and communication skills, cooperation / team-building skills, comprehension / reasoning skills and knowledge / information gathering skills. The objectives of PBL in our school included: application basic medical sciences for analysis of disease pathogenesis or treatment, cultivation of self-directed, active and life-long learning, promotion of team working spirit, promotion the expression and communication, development of critical thinking dispositions and skills, and development of appropriate professional attitudes and behaviors. Therefore, combined the literature and our PBL outcomes, the student performance evaluation form consisted of five domains, which is participation, preparation, communication skills, critical discussion, and teamwork. Students were evaluated by their tutors immediately after the case learning. Each dimension divides into five levels and accounts for 20 scores. The standard of performance is characterized in Table 1.
The participation dimension measures one’s passion for learning and the attitude towards PBL. Students are expected to attend every class, to submit their homework, and to read through all the learning materials shared by group members on time.
The preparation dimension measures one’s input on learning. Students are obligated to prepare all learning issues and to examine related information after class and submit homework online.
The communication skills dimension measures the ability to communicate with the group members. Students should express their thoughts precisely and concisely in an appropriate manner.
The critical discussion dimension measures the extent of participation and contribution in the group learning. Students should learn the references actively and critically to make comments using substantial evidence and innovative thinking.
The teamwork dimension measures the participation in group learning and the collaboration with other members. Students should accord sufficient respect to their colleagues and tutor and work together with great enthusiasm.
Standard of performance and its corresponding scores
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Standard of performance
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Scores
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14, 16
18, 20
Pu D., Ni J., Song D., Zhang W., Wang Y., Wu L., Wang X, & Wang Y. (2019). Influence of critical thinking disposition on the learning efficiency of problem-based learning in undergraduate medical students. BMC Medical Education, 19, 1.
Cognitive assessments were conducted between August 2009 and February 2020 for various ancillary studies. These include: Look AHEAD Physical and Cognitive Function (Aug 2009-Jun 2012, n= 977); Look AHEAD M&M/Brain (Nov 2011-Aug 2013, n=601); and Look AHEAD-C (Aug 2013-Dec 2014; n=3,750). The same cognitive protocol was instituted in Look AHEAD-MIND (May 2018-Feb 2020, n=2451), for a total of 4 possible assessments which varied in the numbers of participants who completed each. For each of these cognitive assessments, staff were centrally trained and certified in administration of the standardized assessments and they were masked to participant’s randomization status.[13 (link)] The assessments comprised the Rey Auditory Verbal Learning Test (RAVLT),[21 ] Digit Symbol Coding (DSC),[22 ] the Stroop Color and Word Test (Stroop),[23 ] and the Trail Making Test Parts A and B (Trails A, Trails B).[24 ] The Modified Mini Mental Status Exam (3MS)[25 (link)] was used to assess global cognitive function. Participants scoring below pre-specified age and education-specific cut points triggered administration of the Functional Assessment Questionnaire (FAQ) to a proxy informant previously identified by the participant. The FAQ assesses functional status and performance on instrumental activities of daily living.[26 (link)]
Hayden K.M., Neiberg R.H., Evans J.K., Luchsinger J.A., Carmichael O., Dutton G.R., Johnson K.C., Kahn S.E., Rapp S.R., Yasar S, & Espeland M.A. (2021). Legacy of a 10-year multidomain lifestyle intervention on the cognitive trajectories of individuals with overweight/obesity and type 2 diabetes mellitus. Dementia and geriatric cognitive disorders, 50(3), 237-249.
Brain Cognition Educational Assessment Fingers Mini Mental State Examination Physical Examination TNFSF10 protein, human Trigger Point Vaginal Diaphragm
The pathway model was constructed using previously described approaches (20 (link)), and detailed methods are described in SI Appendix. Program assessment used the PITS survey tool and comprised five existing survey tools covering project ownership, self-efficacy, science identity, scientific community values, and networking, all of which measure different psychological components of a research experience and have individually been used in a range of investigations of educational programs. Before usage in this data collection process, the PITS survey was evaluated for its dimensionality, validity, and internal consistency (28 (link)). The tool underwent psychometric evaluation and has been validated for usage in the assessment of research experiences. Details of the survey cohorts, data, and statistical analyses are described in detail in SI Appendix. This study was approved and supervised by the Institutional Review Board of the Indiana University of Pennsylvania (14-302) and the University of Pittsburgh Institutional Review Board (PRO14100567 and PRO15030412).
Hanauer D.I., Graham M.J., Betancur L., Bobrownicki A., Cresawn S.G., Garlena R.A., Jacobs-Sera D., Kaufmann N., Pope W.H., Russell D.A., Jacobs WR J.r., Sivanathan V., Asai D.J, & Hatfull G.F. (2017). An inclusive Research Education Community (iREC): Impact of the SEA-PHAGES program on research outcomes and student learning. Proceedings of the National Academy of Sciences of the United States of America, 114(51), 13531-13536.
This study evaluates a family planning clinic-based IPV and reproductive coercion (RC) intervention developed by a team of researchers, victim service advocates, and reproductive health practitioners [61 ]. Figure 3 describes the conceptual model of the ARCHES Intervention and Hypothesized Outcomes. One innovation of the ARCHES intervention is the focus on training not only clinicians, but also para-medical providers (i.e., medical assistants, health educators, and family planning counselors working in these settings) to discuss IPV and RC when counseling around contraception, pregnancy or STI testing. Additionally, the emphasis on universal provision of IPV/RC information recognizes that women often do not recognize IPV or RC and may not define sexual coercion as abuse, [62 , 63 ] particularly when the perpetrator is known to them [63 ]. The lack of recognition of abusive behaviors in relationships [42 , 43 ] has been associated with decreased IPV help-seeking, [63 –65 ] highlighting need for universal IPV/RC education and enhanced assessment.
Conceptual model for ARCHES
ARCHES provides universal IPV/RC education and enhanced assessment through FP provider discussion of IPV/RC with their patients in a way that highlights the prevalence of such abuse among women seen at the clinic and educates patients about the reproductive health impact of such abuse. The enhanced assessment for IPV/RC integrates into the reproductive health visit, for example, by asking a woman seeking pregnancy testing whether her partner might be pressuring her to get pregnant. This education and assessment is facilitated by the use of a palm-sized brochure which describes healthy and unhealthy relationships, offers information about harm reduction, and provides IPV related resources. Evidence that clinic-based IPV assessment can be the first step in recognizing abuse, particularly when done in a context that normalizes such abuse experiences, [42 , 66 ] strengthens the rationale for locating IPV and RC assessment within the context of supportive education for all women seeking FP services. ARCHES also counsels women on harm reduction strategies. Harm reduction, originally used within substance abuse treatment, has been effective in managing a range of health risk behaviors [67 ] by ‘meeting clients where they are’ and assisting them with identifying strategies to decrease harm, including harms related to sexual health [68 –71 ]. IPV interventions appear to increase safety planning and harm reduction behaviors among victimized women, e.g., increase ability to refuse sex, [72 ] reduce substance use in dating contexts, [73 ] and advance preparation for safe escape should violence escalate [74 ]. Harm reduction behaviors have also been shown to protect against violence victimization among high-risk groups (i.e., women in prostitution), [75 ] and to reduce revictimization among college women [73 ]. Thus, ARCHES is designed to reduce women’s risk for violence victimization and unintended pregnancy via education regarding non-partner dependent contraceptives (longer acting reversible contraceptives such as the intrauterine device), access to emergency contraception, and provision of harm reduction strategies. Finally, supported “warm” referrals (i.e., provider facilitation of referral to a victim service advocate via phone or in person) can assist clients in overcoming common barriers to accessing services, including self-blame, [43 , 76 ] lack of recognition of abuse, [63 , 64 ] lack of knowledge of services, [43 , 76 , 77 ] and perception that services are limited in scope (e.g., solely crisis oriented) [76 ]. Articulating the scope of services available to all women (regardless of disclosure of IPV or RC experiences), and normalizing use of these services may facilitate awareness and use of IPV services, improve mental health symptoms, [78 –81 ] and reduce revictimization [82 –84 ].
Tancredi D.J., Silverman J.G., Decker M.R., McCauley H.L., Anderson H.A., Jones K.A., Ciaravino S., Hicks A., Raible C., Zelazny S., James L, & Miller E. (2015). Cluster randomized controlled trial protocol: addressing reproductive coercion in health settings (ARCHES). BMC Women's Health, 15, 57.
Arecaceae Awareness Contraceptive Agents Contraceptive Methods Counselors Drug Abuse Educational Assessment Emergencies Harm Reduction Health Educators Intrauterine Devices Mental Health Patients Population at Risk Pregnancy Reproduction Safety Sexual Abuse Sexual Health Substance Use Teaching Victimization Vision Woman
Participants in both groups will attend three educational sessions together after the baseline assessment (S1 Appendix) (before the NW program starts for the experimental group). Participants will only know the result of the randomization after the education. Educational sessions will be conducted with groups of approximately 6–10 patients. Sessions will be facilitated by a physiotherapist, and will take place in the Faculty of Physiotherapy of The University of A Coruña. Different concepts and guidance related to asthma self-management will be addressed, based on an informative brochure built by the research team. This brochure will be provided to the participants at the end of the education component. If patients miss one session, they will be phone called to wonder about reasons, to be encouraged to assist next sessions and an individual education session will be scheduled to address the missed topic. Besides, patients should keep their usual care, namely attend their regular medical appointments, take the medication under prescription and follow physician recommendations as usual. Participants in the NW group will additionally enrol in an eight-week NW program [35 (link)] of three sessions per week (total of 24 sessions). Feasibility of the NW program has previously been tested in four patients, who showed a good acceptance and satisfaction with intervention received [34 ]. Each session will last one hour and include: a warm-up period of 15 minutes with articular mobility, body-weight exercises with walking poles, and five minutes of walking without poles; 30 minutes of NW, with an intensity of 70–85% theoretical maximum heart rate (HRmax = 206.9 –(0.7 x age)) [36 (link)]; cold-down period of five minutes of relaxed walk without poles, stretching and breathing exercises. NW program will be provided by the same physiotherapist in charge of the educational component, who was trained in NW in Finland. When participants fail one exercise session, he/she will be called to wonder about reasons and to be encouraged to participate in the next session. After finishing the eight-week period, participants will be encouraged to continue by themselves the NW sessions and a pair of poles will be provided to achieve this objective.
Vilanova-Pereira M., Jácome C., Rial Prado M.J., Barral-Fernández M., Blanco Aparicio M., Fontán García-Boente L, & Lista-Paz A. (2023). Effectiveness of nordic walking in patients with asthma: A study protocol of a randomized controlled trial. PLOS ONE, 18(3), e0281007.
We collected data at three time points using two systems. The PRB-RSC survey used the Association of Pediatric Program Directors (APPD) Longitudinal Educational Assessment Research Network (LEARN) ID system. The remaining study data were collected and managed using REDCap electronic data capture tools hosted at the Ohio State University [35 (link),36 (link)]. REDCap (Research Electronic Data Capture) is a secure, web-based software platform designed to support data capture for research studies, providing 1) an intuitive interface for validated data capture; 2) audit trails for tracking data manipulation and export procedures; 3) automated export procedures for seamless data downloads to common statistical packages; and 4) procedures for data integration and interoperability with external sources.
Bajaj N., Phelan J., McConnell E.E, & Reed S.M. (2023). A narrative medicine intervention in pediatric residents led to sustained improvements in resident well-being. Annals of Medicine, 55(1), 849-859.
The analytical subsamples included only data from core members aged 50 and older in each study at their baseline wave (see Supplementary Figures S1 and S2 for the corresponding flow charts). The associations between each socioeconomic marker and memory decline over up to 8-year follow-up from Waves 5 to 9 in ELSA and Waves 1 to 4 in CHARLS were examined by employing a coordinated analysis of linear mixed models (maximum likelihood estimation, unstructured covariance), which accounts for between- and within-subjects variability across repeated measures, taking into consideration that the same individuals’ measures are correlated. A “time” variable was generated to represent the follow-up from Waves 5 to 9 in ELSA and between Waves 1 and 4 in CHARLS. The time in the study has been created for each study to account for the period between waves, and every unit indicates a 1-year increase in follow-up time (range from 0 to 8 years). Memory change was modeled as a linear function of time measured from the baseline wave until the end of the study period. Random effects for the intercept and slope were fitted for each individual, allowing participants to have different scores at baseline and rates of change in memory. The slopes were adjusted for the baseline memory, as the rate of decline might strongly depend on this. Independent analyses were conducted for each marker of SES and memory change over time within each cohort. To test whether memory trajectories differed between participants, we included in the model the SES marker, covariates, time, baseline memory, time × SES marker, and time × covariates. Unstandardized coefficients and 95% confidence intervals (CIs) for baseline memory (intercept) and linear change (slope) were presented for each of the two cohorts from fully adjusted models. Missing observations were assumed to be missing at random (Little & Rubin, 2002 ), and model assumptions were verified by examining residuals computed from the predicted values. Both linear and quadratic effects were tested, but the linear model showed a better fit based on the Bayesian Information Criteria (Raftery, 1986 (link); Raftery et al., 2012 (link)). Baseline cross-sectional sample weights were used for each cohort analysis to ensure that the sample is representative of the general population. Four supplementary analyses were conducted. In the first analysis, we retested the association for each SES marker while we mutually adjusted for the other two markers. The second analysis presented a sex-stratified investigation for education and urbanicity because these two factors showed a significant sex interaction in CHARLS. The third supplementary analysis examined the rates of memory decline in three subset populations samples matched for baseline memory: subset sample 1 (baseline memory scores <9), subset sample 2 (baseline memory scores 10–12), subset sample 3 (baseline memory 13+). The fourth supplementary analysis explored a more detailed categorization of education within each cohort to better understand the country-level differences in each country’s educational system and its relationship with memory change (see Supplementary Material). All analyses were performed using STATA version 16. The manuscript was written following STROBE guidelines.
Cadar D., Brocklebank L., Yan L., Zhao Y, & Steptoe A. (2023). Socioeconomic and Contextual Differentials in Memory Decline: A Cross-Country Investigation Between England and China. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 78(3), 544-555.
No predetermination will be made as to eligible factors; however, all potential factors must be measured before the outcome (Kraemer et al., 1997 (link)). Based on a previous review of gender‐based risk/strength factors (Brown et al., 2019 ), factors that may be located in the literature include (this list is not exhaustive): Individual characteristics: executive functioning, stress, self‐concept, education, use of leisure time, age, race/ethnicity, criminal history, age at first offense, offense type, intelligence. Examples may include scores on risk/needs assessments, IQ test scales, and results from educational assessments. Social factors: childhood maltreatment, out‐of‐home placement, runaway, parental supervision, parent‐child relationship, family criminality, living with partner, relationship quality, recent abuse, antisocial peers, peer support, community level factors, discrimination, religiosity. Examples may include reports from child welfare agencies, results from self‐report parenting questionnaires, or results from self‐reported discrimination questionnaires. Economic factors: employment, community level factors, poverty, deprivation, socioeconomic class. Examples may include socioeconomic factor indexes or self‐reported employment earnings. Psychological factors: criminal thinking, anti‐social personality, externalizing, internalizing, major mental illness, substance use (Brown et al., 2019 ; Wolfowicz et al., 2020 ). Examples may include results from risk/needs assessments, clinician‐administered mental health assessments, or substance abuse screening results.
Chambers A., Brown S, & Peterson‐Badali M. (2023). PROTOCOL: Risk and strength factors that predict criminal conduct among under‐represented genders and sexual minorities: A systematic review and meta‐analysis. Campbell Systematic Reviews, 19(1), e1312.
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Educational assessments can take many forms, including standardized tests, performance-based assessments, portfolio evaluations, and observational methods. Each type of assessment has its own strengths and weaknesses, and the choice of assessment tool depends on the specific learning objectives and the information needed to inform instructional decisions.
Effective educational assessments provide valuable feedback that teachers can use to adjust their instructional strategies, identify areas where students are struggling, and tailor their lessons to meet the unique needs of each learner. By using a variety of assessment techniques, educators can gain a more comprehensive understanding of student progress and make informed decisions to enhance the quality of education.
Challenges in educational assessment can include ensuring the reliability and validity of the assessment tools, aligning assessments with curriculum standards, managing the logistical and administrative burden of assessment, and effectively communicating assessment results to students, parents, and other stakeholders. Careful planning and the use of evidence-based assessment practices can help address these challenges.
PubCompar.ai allows you to screen protocol literature more efficiently and leverage AI to pinpoint critical insights. The platform's AI-driven analysis can help researchers identify the most effective protocols related to educational assessment, highlighting key differences in protocol effectiveness and enabling them to choose the best option for reproducibility and accuracy. This can save time, improve the quality of educational assessments, and enhance the overall effectiveness of teaching and learning.
Educational assessments can be used for a variety of purposes, such as measuring student learning and academic achievement, evaluating the effectiveness of educational programs and interventions, informing curriculum development and instructional planning, and identifying students who may need additional support or interventions. Assessments can also be used to monitor progress, identify areas for improvement, and ensure that educational objectives are being met effectively.
More about "Educational Assessment"
Educational Assessment is a comprehensive process for evaluating the effectiveness and outcomes of educational programs, methods, and interventions.
It encompasses the assessment of student learning, academic achievement, and the overall quality of educational systems.
This assessment utilizes a variety of tools and techniques, such as standardized tests, performance-based assessments, and portfolio evaluations, to measure and analyze student progress and inform instructional decisions.
The goal of Educational Assessment is to enhance teaching and learning, identify areas for improvement, and ensure that educational objectives are being effectively met.
It is a crucial aspect of the educational process, providing valuable insights that can drive continuous improvement and better learning outcomes.
Educational Assessment can be conducted using a range of software and statistical tools, such as Excel 16, SPSS version 16.0, SPSS version 22.0, SAS 9.4, SPSS Statistics software, SPSS Statistics 27, SPSS 25.0, SPSS Statistics for Windows, and GraphPad Prism 7.
These tools offer a wide array of features and functionalities to support data analysis, statistical modeling, and the interpretation of assessment results.
Evaluating the effectiveness of educational programs, methods, and interventions is a complex undertaking, and Educational Assessment provides the framework and tools to tackle this challenge.
By leveraging the insights gained through this comprehensive assessment process, educators can make informed decisions, enhance teaching practices, and ensure that students are receiving the best possible educational experience.