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Michinov, Nicolas; Anquetil, Éric; Michinov, Estelle – Journal of Computer Assisted Learning, 2020
Peer Instruction is an active learning method widely used in higher education, whereby students answer a series of questions twice, once before and once after peer discussion. There is an ongoing debate as to whether a collective feedback should be given after the students' initial answer, and if so, how the frequently observed group conformity…
Descriptors: Peer Teaching, Feedback (Response), Discussion, Active Learning
Rotou, Ourania; Rupp, André A. – ETS Research Report Series, 2020
This research report provides a description of the processes of evaluating the "deployability" of automated scoring (AS) systems from the perspective of large-scale educational assessments in operational settings. It discusses a comprehensive psychometric evaluation that entails analyses that take into consideration the specific purpose…
Descriptors: Computer Assisted Testing, Scoring, Educational Assessment, Psychometrics
Çinar, Ayse; Ince, Elif; Gezer, Murat; Yilmaz, Özgür – Education and Information Technologies, 2020
Worldwide, open-ended questions that require short answers have been used in many exams in fields of science, such as the International Student Assessment Program (PISA), the International Science and Maths Trends Research (TIMSS). However, multiple-choice questions are used for many exams at the national level in Turkey, especially high school…
Descriptors: Foreign Countries, Computer Assisted Testing, Artificial Intelligence, Grading
Morphew, Jason W.; Silva, Mariana; Herman, Geoffrey; West, Matthew – Applied Cognitive Psychology, 2020
Laboratory studies have routinely demonstrated that testing often leads to greater learning and retention than repeated studying. In the classroom, this effect has been replicated with memory and application tasks. However, studies of classrooms involving mathematical problem solving are sparse and have had mixed results. This paper presents the…
Descriptors: Mastery Learning, Testing, Undergraduate Students, Engineering Education
Ranger, Jochen; Kuhn, Jörg Tobias; Ortner, Tuulia M. – Educational and Psychological Measurement, 2020
The hierarchical model of van der Linden is the most popular model for responses and response times in tests. It is composed of two separate submodels--one for the responses and one for the response times--that are joined at a higher level. The submodel for the response times is based on the lognormal distribution. The lognormal distribution is a…
Descriptors: Reaction Time, Tests, Statistical Distributions, Models
Dutta, Atanu Kumar; Goswami, Kalyan; Murugaiyan, Sathishbabu; Sahoo, Sibasish; Pal, Amit; Paul, Chandramallika; Thallapaneni, Sasikala; Biswas, Soham – Biochemistry and Molecular Biology Education, 2020
The coronavirus (COVID-19) pandemic is forcing the medical educators to innovate and embrace online education and assessment platform. One of the most significant challenges we are facing is the formative assessment of practical skills in the undergraduate medical biochemistry education. We have designed the electronic objectively structured…
Descriptors: COVID-19, Pandemics, Medical Education, Electronic Learning
DiCerbo, Kristen – Educational Measurement: Issues and Practice, 2020
We have the ability to capture data from students' interactions with digital environments as they engage in learning activity. This provides the potential for a reimagining of assessment to one in which assessment become part of our natural education activity and can be used to support learning. These new data allow us to more closely examine the…
Descriptors: Student Diversity, Information Technology, Learning Activities, Learning Processes
Klugman, Emma M.; Ho, Andrew D. – Educational Measurement: Issues and Practice, 2020
State testing programs regularly release previously administered test items to the public. We provide an open-source recipe for state, district, and school assessment coordinators to combine these items flexibly to produce scores linked to established state score scales. These would enable estimation of student score distributions and achievement…
Descriptors: Testing Programs, State Programs, Test Items, Scores
Harsy, Amanda – PRIMUS, 2020
As educators, it is important for us to recognize that our assessment methods affect student attitudes. If we want students to learn from their mistakes and counteract a fixed-mindset of learning, perhaps we should look at what we incentivize in the classroom. Some professors are attempting to counteract math and test anxiety, poor STEM retention,…
Descriptors: Testing, Mastery Tests, Mastery Learning, Mathematics Instruction
Arslan, Burcu; Jiang, Yang; Keehner, Madeleine; Gong, Tao; Katz, Irvin R.; Yan, Fred – Educational Measurement: Issues and Practice, 2020
Computer-based educational assessments often include items that involve drag-and-drop responses. There are different ways that drag-and-drop items can be laid out and different choices that test developers can make when designing these items. Currently, these decisions are based on experts' professional judgments and design constraints, rather…
Descriptors: Test Items, Computer Assisted Testing, Test Format, Decision Making
Daniel, Ashley L.; Pedreira, Karli; Martin, Garry L.; Martin, Toby – Education and Training in Autism and Developmental Disabilities, 2020
The Assessment of Basic Learning Abilities-Revised (ABLA-R) is an assessment tool used by applied behavior analysis (ABA) service providers for determining the learning ability of clients with intellectual disabilities and autism spectrum disorder ASD. In this study, we combined an ABLA-R self-instructional manual (DeWiele et al., 2014) with video…
Descriptors: Applied Behavior Analysis, Intellectual Disability, Autism, Pervasive Developmental Disorders
McMullen, Jake; Siegler, Robert S. – Mathematical Thinking and Learning: An International Journal, 2020
To test the hypothesis that a higher tendency to "s"pontaneously "f"ocus "o"n "m"ultiplicative "r"elations (SFOR) leads to improvements in rational number knowledge via more exact estimation of fractional quantities, we presented sixth graders (n = 112) with fraction number line estimations and a…
Descriptors: Fractions, Multiplication, Grade 6, Hypothesis Testing
Vanbecelaere, Stefanie; Van den Berghe, Katrien; Cornillie, Frederik; Sasanguie, Delphine; Reynvoet, Bert; Depaepe, Fien – Journal of Computer Assisted Learning, 2020
For the training of academic skills, digital educational games with integrated adaptivity are promising. Adaptive games are considered superior to non-adaptive games, because they constantly assess children's performance, and accordingly adapt the difficulty of the tasks corresponding to the children's individual level. However, empirical evidence…
Descriptors: Educational Games, Computer Games, Adaptive Testing, Kindergarten
Kuang, Xiulin; Eysink, Tessa H. S.; de Jong, Ton – Journal of Computer Assisted Learning, 2020
Hypothesis generation is an important but difficult process for students. This study investigated the effects of providing students with support for hypothesis generation, with regard to the testability and complexity of the generated hypotheses, the quality of the subsequent inquiry learning processes and knowledge acquisition. Fifty-two…
Descriptors: Hypothesis Testing, Simulation, Inquiry, Active Learning
Kay, Alison E.; Hardy, Judy; Galloway, Ross K. – British Journal of Educational Technology, 2020
This study explores the relationship between engagement with an online, free-to-use question-generation application (PeerWise) and student achievement. Using PeerWise, students can create and answer multiple-choice questions and can provide feedback to the question authors on question quality. This provides further scope for students to engage in…
Descriptors: Computer Assisted Testing, Multiple Choice Tests, Academic Achievement, Feedback (Response)

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