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Wanxue Zhang; Lingling Meng; Bilan Liang – Interactive Learning Environments, 2023
With the continuous development of education, personalized learning has attracted great attention. How to evaluate students' learning effects has become increasingly important. In information technology courses, the traditional academic evaluation focuses on the student's learning outcomes, such as "scores" or "right/wrong,"…
Descriptors: Information Technology, Computer Science Education, High School Students, Scoring
Ben-Jacob, Marion G.; Ben-Jacob, Tyler E. – International Association for Development of the Information Society, 2014
This paper explores alternative assessment methods from the perspective of categorizations. It addresses the technologies that support assessment. It discusses initial, formative, and summative assessment, as well as objective and subjective assessment, and formal and informal assessment. It approaches each category of assessment from the…
Descriptors: Alternative Assessment, Evaluation Methods, Classification, Formative Evaluation
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Brownell, Sara E.; Kloser, Matthew J. – Studies in Higher Education, 2015
Recent calls for reform have advocated for extensive changes to undergraduate science lab experiences, namely providing more authentic research experiences for students. Course-based Undergraduate Research Experiences (CUREs) have attempted to eschew the limitations of traditional "cookbook" laboratory exercises and have received…
Descriptors: Biology, Science Instruction, Undergraduate Students, Guidelines
Vick, Matthew – Online Submission, 2012
This case study analyzes five science courses of a United States virtual charter school. Online quizzes and exams are provided by the corporate partner, while local teachers have selected report topics, virtual labs and at-home labs for students to complete. These assessments were coded for their correlation to the cognitive levels of the revised…
Descriptors: Charter Schools, Secondary School Science, Science Tests, Thinking Skills
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection