Towards highly informative learning analytics

Among various trending topics that can be investigated in the field of educational technology, there is a clear and high demand for using artificial intelligence (AI) and educational data to improve the whole learning and teaching cycle. This spans from collecting and estimating the prior knowledge of learners for a certain subject to the actual learning process and its assessment. AI in education cuts across almost all educational technology disciplines and is key to many other technological innovations for educational institutions. The use of data to inform decision-making in education and training is not new, but the scope and scale of its potential impact on teaching and learning have silently increased by orders of magnitude over the last few years. The release of ChatGPT was another driver to finally make everyone aware of the potential effects of AI technology in the digital education system of today. We are now at a stage where data can be automatically harvested at previously unimagined levels of granularity and variety. Analysis of these data with AI has the potential to provide evidence-based insights into learners’ abilities and patterns of behaviour that, in turn, can provide crucial action points to guide curriculum and course design, personalised assistance, generate assessments, and the development of new educational offerings. AI in education has many connected research communities like Artificial Intelligence in Education (AIED), Educational Data Mining (EDM), or Learning Analytics (LA). LA is the term that is used for research, studies, and applications that try to understand and support the behaviour of learners based on large sets of collected data

Measuring Youth Program Quality: A Guide to Assessment Tools

Thanks to growing interest in the subject of youth program quality, many tools are now available to help organizations and systems assess and improve quality. Given the size and diversity of the youth-serving sector, it is unrealistic to expect that any one tool or process will fit all programs or circumstances. This report compares the purpose, history, structure, methodology, content and technical properties of nine different program observation tools

The validation of a psychological assessment battery for the selection of customer service agents in a South African commercial airline company

The purpose of the research was to determine whether measures of ability, personality and behaviour would significantly predict job performance of customer service agents in a South African commercial airline company. The Verbal Interpretation Test (VCC1), Numerical Reasoning Test (NP6.1), Basic Checking Test (CP7.1C), Occupational Personality Questionnaire (OPQ32) and a competency based interview were completed by job applicants. Customer Contact Competency (CCC) scores and a Person Job Match (PJM) score were derived from the OPQ32 and ability measures to ensure job relevance during selection assessment. Job performance statistics in the form of training scores and supervisor ratings (from performance appraisals and criterion questionnaires) were obtained for the sample as criterion data. Correlations revealed statistically significant small to moderate correlations between the predictors and the criterion dataIndustrial and Organisational PsychologyM.Com. (Industrial & Organisational Psychology

McNair Scholars\u27 Science, Technology, Engineering, and Mathematics (STEM) Graduate Experience: A Pilot Study

Nationally, racial and gender disparities persist in science, technology, engineering, and mathematics (STEM) disciplines. These disparities are most notable at the doctoral level and are also found in the doctoral outcomes of Ronald E. McNair Postbaccalaureate Achievement Program participants (Scholars) despite opportunities designed to promote their doctoral success. Scholars from three McNair Programs were surveyed. The survey included items related to Scholars’ perceptions of their McNair Program experiences, graduate advisor relationship, and experiences with stereotype threat. Scholars overwhelmingly reported their McNair Program experiences as beneficial to their STEM graduate studies and their graduate research advisors as supportive. However, Black female Scholars also overwhelmingly reported experiences related to stereotype threat. Improvements for survey items and the need for STEM education research to explicitly link educational experiences with institutional oppressions such as racism and sexism are discussed

The perfomance of South African pilots on cognitive ability assessment

In South Africa, the issue of lack of black pilot skills is a most talked about topic in commercial airlines. Airlines need to find the right set of skills and attitude to operate safely and successfully. Airline safety remains a topic of discussion, therefore airlines need ensure robustness of their selection processes. There are many requirements that a person has to meet before s/he can be offered a first officer job at an airline. The majority of the pilots in South Africa are white males. The study aimed to determine if there are statistically significant differences in cognitive ability test results between Black and White applicants for pilot positions with a South Africa airline. The test battery included a verbal reasoning test, numerical reasoning test, visual thinking, abstract reasoning test, spatial reasoning test, short term memory test, monitoring ability test, hand-eye coordination, sense of orientation test, reactivity test, and a multi-tasking test. The data were extracted with permission from a database maintained on behalf of the airline by an online test provider and subjected to a statistical analysis using measures of central tendency, and spread, in order to report on the significance of the differences between the groups. There is strong evidence that the White group performed better than the Black group on the majority of the tests. It is recommended that further research is done in order to determine the causes of these differences. A comparative study of results on other airlines’ recruitment selection tests and an exploratory study of the impact of socio-economic factors, education quality and language on cognitive ability tests are recommended