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Lishan Zhang; Linyu Deng; Sixv Zhang; Ling Chen – IEEE Transactions on Learning Technologies, 2024
With the popularity of online one-to-one tutoring, there are emerging concerns about the quality and effectiveness of this kind of tutoring. Although there are some evaluation methods available, they are heavily relied on manual coding by experts, which is too costly. Therefore, using machine learning to predict instruction quality automatically…
Descriptors: Automation, Classification, Artificial Intelligence, Tutoring
Nozhovnik, Oleh; Harbuza, Tetiana; Starosta, Hanna; Radchenko, Yuliia; Zatserkovnyi, Oleh – International Journal of Educational Methodology, 2022
The purpose of the study was to identify and categorise the criteria-specified instructional approaches to fostering undergraduates' cross-cultural skills involving training them in foreign languages and to evaluate their effectiveness and feasibility. It was a systemic review of the effectiveness type. The descriptive content analysis was used as…
Descriptors: Best Practices, Undergraduate Students, Cultural Awareness, Teaching Methods
Mao, Ye; Shi, Yang; Marwan, Samiha; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2021
As students learn how to program, both their programming code and their understanding of it evolves over time. In this work, we present a general data-driven approach, named "Temporal-ASTNN" for modeling student learning progression in open-ended programming domains. Temporal-ASTNN combines a novel neural network model based on abstract…
Descriptors: Programming, Computer Science Education, Learning Processes, Learning Analytics
Apthorp, Helen; Klute, Mary; Petrites, Tony; Harlacher, Jason; Real, Marianne – Society for Research on Educational Effectiveness, 2016
Prior reviews of evidence for the impact of formative assessment on student achievement suggest widely different estimates of formative assessment's effectiveness, ranging from 0.40 and 0.70 standard deviations in one review. The purpose of this study is to describe variability in the effectiveness of formative assessment for promoting student…
Descriptors: Formative Evaluation, Academic Achievement, Classification, Intervention
Mackiewicz, Sara Moore – ProQuest LLC, 2010
The use of early literacy screening measures helps determine which students are at risk for future reading difficulties. However, there has been some recent concern related to the classification validity of screening measures (Hintze, Ryan, & Stoner, 2003; Nelson, 2008). Low classification validity results in the identification of a large number…
Descriptors: Control Groups, Reading Difficulties, Pretests Posttests, Validity
Hardiman, Mariale – Corwin, 2012
"The Brain-Targeted Teaching Model for 21st-Century Schools" serves as a bridge between research and practice by providing a cohesive, proven, and usable model of effective instruction. Compatible with other professional development programs, this model shows how to apply relevant research from educational and cognitive neuroscience to classroom…
Descriptors: Student Evaluation, Teaching Models, Brain, Learning Experience
Acosta, Sandra; Garza, Tiberio – Research in the Schools, 2011
Podagogy, a fusion of podcasting and pedagogy, is evidence-based educational podcasting for teaching and learning. The purpose of our article was to compile a playbook of evidence-based strategies, the plays, for integrating podcasting into PreK-12 classrooms with English language learners (ELLs). Data for developing the playbook were drawn from…
Descriptors: Handheld Devices, Audio Equipment, Information Dissemination, Evidence
Bedwell, Wendy L.; Pavlas, Davin; Heyne, Kyle; Lazzara, Elizabeth H.; Salas, Eduardo – Simulation & Gaming, 2012
The serious games community is moving toward research focusing on direct comparisons between learning outcomes of serious games and those of more traditional training methods. Such comparisons are difficult, however, due to the lack of a consistent taxonomy of game attributes for serious games. Without a clear understanding of what truly…
Descriptors: Taxonomy, Comparative Analysis, Video Games, Computer Games
Crowe, Alison; Dirks, Clarissa; Wenderoth, Mary Pat – CBE - Life Sciences Education, 2008
We developed the Blooming Biology Tool (BBT), an assessment tool based on Bloom's Taxonomy, to assist science faculty in better aligning their assessments with their teaching activities and to help students enhance their study skills and metacognition. The work presented here shows how assessment tools, such as the BBT, can be used to guide and…
Descriptors: Standardized Tests, Metacognition, Instructional Effectiveness, Biology
Hart, Juliet E.; Cramer, Elizabeth D.; Harry, Beth; Klingner, Janette K.; Sturges, Keith M. – Remedial and Special Education, 2010
This article discusses the construction of the "emotional disturbance" (ED) category in the cases of four African American elementary students. These cases represent a sub-set of data from a three-year ethnographic study of the special education process in a large, culturally/linguistically diverse school district. Based on interviews,…
Descriptors: African American Students, Emotional Disturbances, Academic Achievement, Ethnography
Padiotis, Ioannis; Mikropoulos, Tassos A. – Educational Technology & Society, 2010
The present research investigates the contribution of an interactive educational virtual environment on milk pasteurization to the learning outcomes of 40 students in a technical secondary school using SOLO taxonomy. After the interaction with the virtual environment the majority of the students moved to higher hierarchical levels of understanding…
Descriptors: Foreign Countries, Science Instruction, Technology Education, Misconceptions

Campione, Joseph C. – Journal of Learning Disabilities, 1989
Criticisms of traditional approaches to the assessment of student abilities and instructional program design are reviewed and alternative, dynamic approaches are suggested. A major feature of the suggested approaches is assistance to influence student performance and thus reveal the potential for change. The approaches are categorized and examined…
Descriptors: Classification, Evaluation Methods, Instructional Effectiveness, Learning Disabilities
Chang, Wen-Chih; Yang, Hsuan-Che; Shih, Timothy K.; Chao, Louis R. – International Journal of Distance Education Technologies, 2009
E-learning provides a convenient and efficient way for learning. Formative assessment not only guides student in instruction and learning, diagnose skill or knowledge gaps, but also measures progress and evaluation. An efficient and convenient e-learning formative assessment system is the key character for e-learning. However, most e-learning…
Descriptors: Electronic Learning, Student Evaluation, Formative Evaluation, Educational Objectives

Ainsworth, Shaaron – Computers & Education, 1999
Discusses multiple representations and multimedia learning environments; describes a functional taxonomy of MERs (multiple external representations); and considers how MERs are used to support cognitive processes in learning and problem solving with computers. (Contains 41 references.) (Author/LRW)
Descriptors: Classification, Cognitive Processes, Computer Assisted Instruction, Educational Environment
Newby, Tim; And Others – 1991
A faculty evaluation technique was used to classify responses from open-ended evaluations to determine elements of university teaching that were of greatest concern to students and to determine the feasibility of comparing subgroups by instructor gender, class size, and school. Small Group Instructional Diagnosis (SGID) was used--a form of course…
Descriptors: Classification, College Faculty, College Students, Course Evaluation
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