Information behaviour of Canadian pharmaceutical policy makers     

Greyson DL  Cunningham C  Morgan S 《Health information and libraries journal》2012,29(1):16-27

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Language in Use in Mathematics Classrooms: Developing Approaches to a Research Domain, H. Steinbring, M.G. Bartolini Bussi and A. Sierpinska     

Candia Morgan 《Educational Studies in Mathematics》2000,41(1):93-99

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Unravelling the complexities of distance education student attrition     

Christopher K. Morgan  Maureen Tam 《Distance Education》1999,20(1):96-108

This paper reports on an investigation into the complexities of student attrition in a distance education course. Deep‐seated factors involved in the attrition process are disclosed as the particular qualitative research process that was employed mapped student responses through the course of interviews. These tabulations reveal interesting patterns of change as students volunteer explanations for their decisions.  相似文献   

Discovering frequently recurring movement sequences in team-sport athlete spatiotemporal data     

Alice J. Sweeting  Stuart J. Cormack  Stuart Morgan 《Journal of sports sciences》2017,35(24):2439-2445

Athlete external load is typically analysed from predetermined movement thresholds. The combination of movement sequences and differences in these movements between playing positions is also currently unknown. This study developed a method to discover the frequently recurring movement sequences across playing position during matches. The external load of 12 international female netball athletes was collected by a local positioning system during four national-level matches. Velocity, acceleration and angular velocity were calculated from positional (X, Y) data, clustered via one-dimensional k-means and assigned a unique alphabetic label. Combinations of velocity, acceleration and angular velocity movement were compared using the Levenshtein distance and similarities computed by the longest common substring problem. The contribution of each movement sequence, according to playing position and relative to the wider data set, was then calculated via the Minkowski distance. A total of 10 frequently recurring combinations of movement were discovered, regardless of playing position. Only the wing attack, goal attack and goal defence playing positions are closely related. We developed a technique to discover the movement sequences, according to playing position, performed by elite netballers. This methodology can be extended to discover the frequently recurring movements within other team sports and across levels of competition.  相似文献   

Counseling with teachers on the sexual acting-out of disturbed children     

Sharon R. Morgan 《Psychology in the schools》1984,21(2):234-243

This paper discusses the complicated task of counseling with teachers in the schools on the sexual acting-out of emotionally disturbed children. Clinical case material is presented to illustrate the meanings and motivations children have subconsciously applied to various types of sexual behavior. The material for discussion is divided into behaviors that are sexual acting-out toward self and sexual acting-out toward others. The final section of the paper proposes some guidelines that can be used constructively when discussing this problem with teachers in the school setting.  相似文献   

Job corps innovations in retrospect     

Robert M. Morgan 《Performance Improvement》1981,20(4):21-23

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May be customer service needs an expert system?     

Mike Morgan 《Performance Improvement》1989,28(4):24-25

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Assessing approaches to learning with nonparametric multidimensional scaling     

Gerald Knezek  David Gibson  Rhonda Christensen  Ottavia Trevisan  Morgan Carter 《British journal of educational technology : journal of the Council for Educational Technology》2023,54(1):126-141

This article reports on a trace-based assessment of approaches to learning used by middle school aged children who interacted with NASA Mars Mission science, technology, engineering and mathematics (STEM) games in Whyville, an online game environment with 8 million registered young learners. The learning objectives of two games included awareness and knowledge of NASA missions, developing knowledge and skills of measurement and scaling, applying measurement for planetary comparisons in the solar system. Trace data from 1361 interactions were analysed with nonparametric multidimensional scaling methods, which permitted visual examination and statistical validation, and provided an example and proof of concept for the multidimensional scaling approach to analysis of time-based behavioural data from a game or simulation. Differences in approach to learning were found illustrating the potential value of the methodology to curriculum and game-based learning designers as well as other creators of online STEM content for pre-college youth. The theoretical framework of the method and analysis makes use of the Epistemic Network Analysis toolkit as a post hoc data exploration platform, and the discussion centres on issues of semantic interpretation of interaction end-states and the application of evidence centred design in post hoc analysis.

Practitioner notes

What is already known about this topic

• Educational game play has been demonstrated to positively affect learning performance and learning persistence.
• Trace-based assessment from digital learning environments can focus on learning outcomes and processes drawn from user behaviour and contextual data.
• Existing approaches used in learning analytics do not (fully) meet criteria commonly used in psychometrics or for different forms of validity in assessment, even though some consider learning analytics a form of assessment in the broadest sense.
• Frameworks of knowledge representation in trace-based research often include concepts from cognitive psychology, education and cognitive science.

What this paper adds

• To assess skills-in-action, stronger connections of learning analytics with educational measurement can include parametric and nonparametric statistics integrated with theory-driven modelling and semantic network analysis approaches widening the basis for inferences, validity, meaning and understanding from digital traces.
• An expanded methodological foundation is offered for analysis in which nonparametric multidimensional scaling, multimodal analysis, epistemic network analysis and evidence-centred design are combined.

Implications for practice and policy

• The new foundations are suggested as a principled, theory-driven, embedded data collection and analysis framework that provides structure for reverse engineering of semantics as well as pre-planning frameworks that support creative freedom in the processes of creation of digital learning environments.

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