An interview with Robert Lawler

Robert Lawler is one of the key figures in the development of thinkable models and educational games. In this interview, dedicated to Seymour Papert, Marvin Minsky and Oliver Selfridge, he comments on his research notes and provides fascinating insights into the early days of artificial intelligence applications in education.     

School attendance problems and youth psychopathology: structural cross-lagged regression models in three longitudinal data sets

This study tests a model of reciprocal influences between absenteeism and youth psychopathology using 3 longitudinal datasets (Ns = 20,745, 2,311, and 671). Participants in 1st through 12th grades were interviewed annually or biannually. Measures of psychopathology include self-, parent-, and teacher-report questionnaires. Structural cross-lagged regression models were tested. In a nationally representative data set (Add Health), middle school students with relatively greater absenteeism at Study Year 1 tended toward increased depression and conduct problems in Study Year 2, over and above the effects of autoregressive associations and demographic covariates. The opposite direction of effects was found for both middle and high school students. Analyses with 2 regionally representative data sets were also partially supportive. Longitudinal links were more evident in adolescence than in childhood.     

The engagement of mature distance students

An increasing proportion of tertiary students are aged 25 and over, and many of these students choose to study at a distance in order to more easily combine their studies with their family and work commitments. Higher attrition rates and lower course completion rates for this group highlight the need for a greater understanding of their student experience. To explore whether age and mode of study impact on student engagement, satisfaction, learning and departure intention, data from the Australasian Survey of Student Engagement from 1116 first-year undergraduate students from a single New Zealand university were analysed. Results confirm the influence of student engagement on both student satisfaction and learning, in particular the importance of a supportive learning environment. The findings suggest that while older and distance students are less likely to engage in active learning strategies with their fellow students, they have a much greater capacity to integrate their learning with their work experience. The finding that these students are as satisfied as the more traditional-aged, on-campus students suggests that their experience is different, but not second-rate. Universities need to build on the strengths of these students as well as provide greater opportunities for them to form collaborative relationships with similar students. Limitations stemming from the timing of the survey and the inherent limitations of cross-sectional surveys suggest the need for more in-depth longitudinal work to understand the changing nature of engagement for these students and to explore why they engage differently with their studies.     

A future for adult lifelong education in Aotearoa New Zealand: neoliberal or cosmopolitan?

This paper sets out to answer two questions ‘Given the policy settings for lifelong learning for adults in Europe and much of the western world, what are the policy settings and experiences in Aotearoa New Zealand?’ and ‘Will the future of adult lifelong education there be neoliberal or cosmopolitan?’ The article first examines some of the roots of post‐compulsory education policy in Aotearoa New Zealand over the last 30 years. In particular it considers trends in philosophies and practices about educating adults as well as some of the varied policy discourses prevailing over this period. Next it reviews the ever‐changing policy landscape, in particular unresolved tensions between social and economic goals, the acquisition of skills for learning for living and dialogic social purpose learning, and attainment of social cohesion and recognition of diversity. Finally the paper attempts to preview how these tensions may play out in an uncertain future.     

Prior knowledge moderates instructional effects on conceptual understanding of statistics

This study investigated the effects of different teaching and learning methods for statistics for 2 levels of prior knowledge on cognitive load, propositional knowledge, and conceptual understanding. Teaching methods were whether or not to provide students with propositional information, and learning strategies were self-explaining the learning material and explaining in pairs. The results indicate that prior knowledge facilitates propositional knowledge development and leads to differential effects of teaching and learning methods on conceptual understanding: Only low prior knowledge students profit from additional information in the learning task and/or explaining in pairs. An implication of these findings is that low prior knowledge students should be guided into the subject matter by means of working in pairs on learning tasks that comprise additional information. Once students have developed more knowledge of the subject matter, they should be stimulated to work individually on learning tasks that do not comprise additional information.