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Yuguo Ke; Xiaozhen Zhou – SAGE Open, 2025
Focusing efficiently on potential weaknesses in the validity argument of writing assessments--such as writing subjectivity, content coverage, criteria vagueness, and raters' incompetence--has been shown to positively enhance teachers' overall writing assessment competence (AC). In this study, we propose a computational bootstrapping model of…
Descriptors: Writing Evaluation, Persuasive Discourse, Validity, Writing Teachers
Peer reviewed Peer reviewed
Wager, Walter – Journal of Educational Technology Systems, 1981
This review of four different computer-assisted instruction algorithms concludes that current authoring guides are more concerned with "user orientation" than with instructional principles, and advocates the application of a design model based on Gagne's information processing model of instruction. Nine references are listed. (MER)
Descriptors: Algorithms, Comparative Analysis, Computer Assisted Instruction, Epistemology
Mitchell, M. C., Jr. – Journal of Instructional Development, 1980
Examines notion of algorithms and describes variety of roles they take in educational endeavors. Problems in their development and application are explored, and implications for future use and research are presented. References are included. (BK)
Descriptors: Algorithms, Educational Research, Educational Strategies, Feasibility Studies
Katz, Samuel; Bollettino, Ruth – Performance and Instruction, 1981
Explores the nature of the differences between end-of-training behavior and job behavior, the means by which end-of-training behavior is produced, and ways to minimize problems with the transfer of learning from off site training programs to the job. (Author/LLS)
Descriptors: Algorithms, Instructional Development, Job Performance, Job Skills
Jonassen, David H.; Hannum, Wallace H. – Journal of Instructional Development, 1986
Describes functions comprising task analysis process--inventory, description, selection, sequencing, and analysis--and reviews distinctions between the micro/macro level, top-down/bottom-up, and job/learning task analysis processes. These functions and distinctions are combined into a quasi-algorithm suggesting which of 30 task analysis procedures…
Descriptors: Algorithms, Behavioral Objectives, Classification, Content Analysis