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Martin, Barbara L. – Educational Technology, 1989
Presents a systems model for developing instruction in the affective domain and offers a checklist for instructional design. Topics discussed include conducting a needs assessment; behavioral objectives; sequencing affective objectives; the relationship between affective and cognitive behaviors; selecting instructional procedures; and designing…
Descriptors: Affective Objectives, Check Lists, Cognitive Objectives, Evaluation Methods
Bailey, Gerald D. – Educational Technology, 1977
Instructional objectives do not allow teachers to focus on the method or strategy which is employed to assist the student. (DAG)
Descriptors: Classroom Techniques, Educational Objectives, Instructional Improvement, Teaching Methods
Berk, Ronald A. – Educational Technology, 1980
Examines four factors involved in the determination of how many test items should be constructed or sampled for a set of objectives: (1) the type of decision to be made with results, (2) importance of objectives, (3) number of objectives, and (4) practical constraints. Specific guidelines that teachers and evaluators can use and an illustrative…
Descriptors: Behavioral Objectives, Criterion Referenced Tests, Guidelines, Test Construction
Molnar, Andrew R. – Educational Technology, 1975
A discussion of how the computer has compelled educators to devise new education experiences by which students can acquire information. (Author/HB)
Descriptors: Computer Science, Educational Technology, Instructional Innovation, Learning Activities
Kaufman, Roger – Educational Technology, 1986
An algorithm or decision chart is presented which provides basic decision steps to help management decide what data should be collected to derive valid and correct objectives, and to determine what levels of objectives will be selected relative to products, outputs, or outcomes of an organization. (MBR)
Descriptors: Algorithms, Decision Making, Needs Assessment, Organizational Effectiveness
Thota, Vykuntapathi – Educational Technology, 1979
Discusses the management by objectives principle as it can be usefully applied to individualizing instruction, particularly as it capitalizes on Thota's planning, implementing, and evaluating model. (RAO)
Descriptors: Educational Planning, Educational Programs, Evaluation, Individualized Instruction
Locatis, Craig N.; Atkinson, Francis D. – Educational Technology, 1976
What to consider before making selections. (LS)
Descriptors: Cost Effectiveness, Educational Environment, Educational Media, Educational Objectives
Duby, Aliza – Educational Technology, 1987
Defines self-formative evaluation as the formative evaluation of instructional materials conducted during the development of the product by its users or developers. Topics discussed include the results of a study that examined users' attitudes toward such evaluation, their ability to execute it, and the effects of training on that ability. (CLB)
Descriptors: Evaluation Methods, Formative Evaluation, Inservice Teacher Education, Instructional Development
Wedman, John F.; Stefanich, Greg P. – Educational Technology, 1984
Offers guidelines for designing computer-based testing which demands high-level cognitive functioning of students using computer-assisted instruction as a learning mode. Examples of conceptual, principle, and procedural learning evaluation approaches, strengths and weaknesses within the formats described, and suggestions for improving the…
Descriptors: Cognitive Objectives, Computer Assisted Instruction, Computer Assisted Testing, Evaluation Methods
Andrews, Dee H. – Educational Technology, 1988
Delineates the differences between simulators and training devices, and discusses the possibility of inadequate training when simulators are used as training devices. Guidelines for appropriate training device development using a behavioral learning approach are presented. (13 references) (CLB)
Descriptors: Behavioral Objectives, Computer Assisted Instruction, Computer Simulation, Evaluation Criteria
Smeltzer, Dennis K. – Educational Technology, 1984
INSTAN, a computer program designed to aid in appropriate media selection for classroom teaching, comprises three interrelated sections which focus on instructional objectives, the instructional environment, and instructional material selection. INSTAN is not described as an all-inclusive media selection model, but as a paradigm for further…
Descriptors: Classroom Environment, Computer Oriented Programs, Computer Software, Course Objectives
Selfe, Cynthia – Educational Technology, 1984
A brief review of shortcomings of commercially available computer assisted instruction (CAI) programs, is followed by a description of Wordsworth II, a sophisticated interactive CAI program written at Michigan Technological University for teaching English composition. Criteria met by each of the program's eight process-based modules are discussed…
Descriptors: Computer Assisted Instruction, Courseware, Design Requirements, Higher Education
Stuart, John A.; Burns, Richard W. – Educational Technology, 1984
Presents a classification scheme applicable to systematic instructional design, which partitions the cognitive domain into the four levels of knowledge, understanding, mental processes, and strategies, each of which encompasses specific instructional objectives. Guidelines are offered to assist in the design and construction of these instructional…
Descriptors: Classification, Cognitive Processes, Decision Making, Guidelines
Maher, Charles A.; Mossip, Caroline E. – Educational Technology, 1984
Describes a management-oriented system for the evaluation of educational programs for gifted children in public schools. Referred to as the Program Analysis and Review System, the approach comprises three sequential steps of program specification, documentation, and outcome determination, which are discussed in detail. (MBR)
Descriptors: Course Objectives, Documentation, Educational Resources, Elementary Secondary Education
Brightman, Harvey J.; And Others – Educational Technology, 1984
Describes the development and evaluation of interactive computer-based formative tests containing multiple choice questions based on Bloom's taxonomy and their use in a core-level higher education business statistics course prior to graded examinations to determine where students are experiencing difficulties. (MBR)
Descriptors: Cognitive Objectives, Computer Assisted Testing, Computer Software, Diagnostic Tests
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