The questionnaire method has always been an important research method in psychology. The increasing prevalence of multidimensional trait measures in psychological research has led researchers to use longer questionnaires. However, questionnaires that are too long will inevitably reduce the quality of the completed questionnaires and the efficiency…

Self-regulated learning (SRL) is a critical component of mathematics problem-solving. Students skilled in SRL are more likely to effectively set goals, search for information, and direct their attention and cognitive process so that they align their efforts with their objectives. An influential framework for SRL, the SMART model (Winne, 2017),…

Explains genetic algorithms, a means of generating logical rules that predict one variable by relating it to others. Describes how they can be applied to analysis of survey data. (SK)

Discusses various strategies for assessing importance of journals for acquisition; describes a discipline-specific selection algorithm which uses journal citation data to identify journals that contribute to a discipline's research foundation as well as those used for professional practice; and reports on two studies which demonstrated the…

This study of training needs utilized a questionnaire to assess participant's opinions of knowledge level that should exist and knowledge level that does exist in 25 content areas and analyzed the resultant data using three different approaches: mean difference analysis, multicomponent data analysis, and weighted need index. (MBR)

Describes two studies of undergraduates that examined learner and gender preferences for structured flowcharts versus pseudocode in the comprehension of short, complex algorithms. Research dealing with algorithm comprehension and flowcharts is reviewed, hypotheses tested are explained, implications for instructors and instructional materials are…

Discussion of instructional design models focuses on a study concerned with developing effective instruction in heuristic-based problem solving for computer programing. Highlights include distinctions between algorithms and heuristics; pretests and posttests; revised instructional design procedures; student attitudes; task analysis; and…