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Ryan S. Baker; Stephen Hutt; Nigel Bosch; Jaclyn Ocumpaugh; Gautam Biswas; Luc Paquette; J. M. Alexandra Andres; Nidhi Nasiar; Anabil Munshi – Educational Technology Research and Development, 2024
In this paper, we propose a new method for selecting cases for in situ, immediate interview research: detector-driven classroom interviewing (DDCI). Published work in educational data mining and learning analytics has yielded highly scalable measures that can detect key aspects of student interaction with computer-based learning in close to…
Descriptors: Electronic Learning, Anxiety, Metacognition, Data Collection
Novak, Elena – Educational Technology Research and Development, 2022
Mathematical modeling describes how events, concepts, and systems of interest behave in the world using mathematical concepts. This research approach can be applied to theory construction and testing by using empirical data to evaluate whether the specific theory can explain the empirical data or whether the theory fits the data available.…
Descriptors: Mathematical Models, Educational Technology, Theories, Testing
Bottge, Brian A.; Rueda, Enrique; Kwon, Jung Min; Grant, Timothy; LaRoque, Perry – Educational Technology Research and Development, 2009
The purpose of this randomized experiment was to compare the performance of high-, average-, and low-achieving middle school students who were assessed with parallel versions of a computer-based test (CBT) or a paper-pencil test (PPT). Tests delivered in interactive, immersive environments like the CBT may have the advantage of providing teachers…
Descriptors: Teaching Methods, Problem Solving, Middle School Students, Mathematics Instruction
Corn, Jenifer O. – Educational Technology Research and Development, 2010
Schools and districts should use a well-designed needs assessment to inform important decisions about a range of technology program areas. Presently, there is a lack of valid and reliable instruments available and accessible to schools to effectively assess their educational needs to better design and evaluate their projects and initiatives. The…
Descriptors: Educational Needs, Needs Assessment, Formative Evaluation, Test Validity
Hannafin, Robert D.; Foshay, Wellesley R. – Educational Technology Research and Development, 2008
Patriot High School (PHS) adopted a remediation strategy to help its 10th-grade students at risk of failing the Math portion of MCAS, the state's end of year competency exam. The centerpiece of that strategy was a computer-based instructional (CBI) course. PHS used a commercially available CBI product to align the course content with the…
Descriptors: Computer Assisted Instruction, High Risk Students, High Stakes Tests, Course Content

Kumar, David D.; And Others – Educational Technology Research and Development, 1994
Explores the emerging interface between computer technology and cognitive psychology for performance assessment in science education. Discussion includes interface theories and interface technologies and prototype projects for building an alternative assessment technology. (50 references) (KRN)
Descriptors: Cognitive Psychology, Computer Assisted Testing, Computers, Educational Research
Griffin, Marlynn M.; Robinson, Daniel H.; Sarama, Julie – Educational Technology Research and Development, 2005
The conjoint retention hypothesis (CRH) claims that students recall more text information when they study geographic maps in addition to text than when they study text alone, because the maps are encoded spatially (Kulhavy, Lee, & Caterino, 1985). This claim was recently challenged by Griffin and Robinson (2000), who found no advantage for maps…
Descriptors: Retention (Psychology), Hypothesis Testing, Recall (Psychology), Maps
van Gog, Tamara; Ericsson, K. Anders; Rikers, Remy M. J. P.; Paas, Fred – Educational Technology Research and Development, 2005
Cognitive load theory (CLT) has been successful in identifying instructional formats that are more effective and efficient than conventional problem solving in the initial, novice phase of skill acquisition. However, recent findings regarding the "expertise reversal effect" have begun to stimulate cognitive load theorists to broaden their horizon…
Descriptors: Instructional Design, Advanced Students, Epistemology, Problem Solving