Using Learning Analytics to Devise Interactive Personalised Nudges for Active Video Watching

Videos can be a powerful medium for acquiring soft skills, where learning requires contextualisation in personal experience and ability to see different perspectives. However, to learn effectively while watching videos, students need to actively engage with video content. We implemented interactive notetaking during video watching in an active video watching system (AVW) as a means to encourage engagement. This paper proposes a systematic approach to utilise learning analytics for the introduction of adaptive intervention - a choice architecture for personalised nudges in the AVW to extend learning. A user study was conducted and used as an illustration. By characterising clusters derived from user profiles, we identify different styles of engagement, such as parochial learning, habitual video watching, and self-regulated learning (which is the target ideal behaviour). To find opportunities for interventions, interaction traces in the AVW were used to identify video intervals with high user interest and relevant behaviour patterns that indicate when nudges may be triggered. A prediction model was developed to identify comments that are likely to have high social value, and can be used as examples in nudges. A framework for interactive personalised nudges was then conceptualised for the case study

Inducing self-explanation: A meta-analysis and experiment

Self-explanation is a process by which learners generate inferences about causal connections or conceptual associations. This dissertation seeks to contribute to the literature on inducing self-explanations, by way of prompting, to facilitate learning. More specifically, this research seeks to understand the effects on learning gains when learners are prompted to self-explain in various contexts and with various prompts. As such, one goal of the dissertation is to provide a comprehensive review of prior research on self-explanation. A meta-analysis was conducted on research that investigated learning outcomes of participants who received self-explanation prompts while studying or solving problems. Our systematic search of relevant bibliographic databases identified 69 effect sizes (from 64 research reports) which met certain inclusion criteria. The overall weighted mean effect size using a random effects model was g = .55. We coded and analyzed 20 moderator variables including type of learning task (e.g., solving problems, studying worked problems, and studying text), subject area, level of education, type of inducement, and treatment duration. We found that self-explanation prompts (SEPs) are a potentially powerful intervention across a range of instructional conditions. To further investigate the effect of various prompts on studying expository text, I conducted an online experiment employing a 2 x 2 x 3 factorial design, in which one factor was within subject. One hundred and twenty-six participants were randomly assigned to one of three self-explanation prompt conditions (content-free (generic), content-specific (specific), and no SEP). The results support the utilization of generic self-explanation prompts in comparison to specific self-explanation prompts and receiving no prompt. Specifically, the generic self-explanation group outperformed the other two groups on the reading comprehension outcome in the short-answer question format

Are developmental disorders like cases of adult brain damage? Implications from connectionist modelling

It is often assumed that similar domain-specific behavioural impairments found in cases of adult brain damage and developmental disorders correspond to similar underlying causes, and can serve as convergent evidence for the modular structure of the normal adult cognitive system. We argue that this correspondence is contingent on an unsupported assumption that atypical development can produce selective deficits while the rest of the system develops normally (Residual Normality), and that this assumption tends to bias data collection in the field. Based on a review of connectionist models of acquired and developmental disorders in the domains of reading and past tense, as well as on new simulations, we explore the computational viability of Residual Normality and the potential role of development in producing behavioural deficits. Simulations demonstrate that damage to a developmental model can produce very different effects depending on whether it occurs prior to or following the training process. Because developmental disorders typically involve damage prior to learning, we conclude that the developmental process is a key component of the explanation of endstate impairments in such disorders. Further simulations demonstrate that in simple connectionist learning systems, the assumption of Residual Normality is undermined by processes of compensation or alteration elsewhere in the system. We outline the precise computational conditions required for Residual Normality to hold in development, and suggest that in many cases it is an unlikely hypothesis. We conclude that in developmental disorders, inferences from behavioural deficits to underlying structure crucially depend on developmental conditions, and that the process of ontogenetic development cannot be ignored in constructing models of developmental disorders

Elementary School L2 English Teachers’ Language Performance and Children’s Second Language Acquisition

This doctoral dissertation investigates the linguistic performance of German elementary school English teachers and how their second language (L2) English performance relates to their students' acquisition of English as a foreign language. The studies reflect the teachers' L2 language performance, give insights into the interrelationships of the complexity, accuracy, and fluency (CAF) dimensions of L2 language production, and finally address how linguistic performance relates to the students' L2 development. Following a mixed-methods approach, the first study analyzed the language performance elicited in semi-structured qualitative interviews with eleven German elementary school English teachers based on CAF measures. The second study focuses on the students' language development of a sub-set of four of the interviewed teachers. The students (N = 132) were given picture pointing tasks of either receptive grammar, receptive vocabulary or both at two times during the fourth year of elementary school. The key finding was that the whole group’s mean grammar score significantly improved from time one to time two. The increase of the mean vocabulary score was not statistically significant. When the students were grouped with their respective teachers, comparisons exposed significant differences between some of the groups. The third study synthesizes the teachers’ CAF performance and the students’ development in receptive English grammar and vocabulary. A principal components analysis (PCA) first calculated the variability of the range of the measures for complexity, accuracy, and fluency and their contributions to each CAF dimension. Correlation analyses between the dimensions revealed several robust significant correlations for complexity, accuracy, and fluency as captured in breakdown fluency and speed fluency. Repair fluency and lexical diversity correlated with breakdown and speed fluency, but not with accuracy and complexity. Based on the teachers’ composite CAF scores calculated in the PCA and the students’ test scores, the relationships between the teachers’ language performances and their students’ L2 development were analyzed. Multiple regression analyses retained breakdown fluency, measured in the number and length of pauses as part of the fluency dimension, as the only dimension significantly predicting the students’ receptive grammar development. The results point to several conclusions: First, the significant correlations between complexity, accuracy, and fluency in terms of breakdown and speed fluency indicate that the dimensions did not come at the expense of one another in the L2 performance on the cross-sectional interview task used in this study. Second, the students’ significant improvement in receptive English grammar implies some positive development of elementary school L2 English as a whole. However, the high variability among the students’ scores indicates other factors being at play in the children’s L2 development in addition to the teachers’ performance investigated in this study. Third, breakdown fluency as a specific feature of the teachers’ spoken language performance may have a beneficial effect on the children’s receptive English grammar acquisition. This finding is in line with observations of pausing as an element of L2 teacher talk as well as a prosodic feature in child-directed speech in first language acquisition that potentially aids language learners in segmenting linguistic input. The findings propose that future research take into consideration specific features in the L2 input and examine them as possible factors in children’s L2 language acquisition. Der Anhang dieser Veröffentlichung steht ebenfalls als elektronische Publikation im Internet kostenfrei (Open Access) zur Verfügung unter: http://dx.doi.org/10.18442/08

The Evolution of Language Universals: Optimal Design and Adaptation

Inquiry into the evolution of syntactic universals is hampered by severe limitations on the available evidence. Theories of selective function nevertheless lead to predictions of local optimaliiy that can be tested scientifically. This thesis refines a diagnostic, originally proposed by Parker and Maynard Smith (1990), for identifying selective functions on this basis and applies it to the evolution of two syntactic universals: (I) the distinction between open and closed lexical classes, and (2) nested constituent structure. In the case of the former, it is argued that the selective role of the closed class items is primarily to minimise the amount of redundancy in the lexicon. In the case of the latter, the emergence of nested phrase structure is argued to have been a by-product of selection for the ability to perform insertion operations on sequences - a function that plausibly pre-dated the emergence of modem language competence. The evidence for these claims is not just that these properties perform plausibly fitness-related functions, but that they appear to perform them in a way that is improbably optimal. A number of interesting findings follow when examining the selective role of the closed classes. In particular, case, agreement and the requirement that sentences have subjects are expected consequences of an optimised lexicon, the theory thereby relating these properties to natural selection for the first time. It also motivates the view that language variation is confined to parameters associated with closed class items, in turn explaining why parameter confiicts fail to arise in bilingualism. The simplest representation of sequences that is optimised for efficient insertions can represent both nested constituent structure and long-distance dependencies in a unified way, thus suggesting that movement is intrinsic to the representation of constituency rather than an 'imperfection'. The basic structure of phrases also follows from this representation and helps to explain the interaction between case and theta assignment. These findings bring together a surprising array of phenomena, reinforcing its correctness as the representational basis of syntactic structures. The diagnostic overcomes shortcomings in the approach of Pinker and Bloom (1990), who argued that the appearance of 'adaptive complexity' in the design of a trait could be used as evidence of its selective function, but there is no reason to expect the refinements of natural selection to increase complexity in any given case. Optimality considerations are also applied in this thesis to filter theories of the nature of unobserved linguistic representations as well as theories of their functions. In this context, it is argued that, despite Chomsky's (1995) resistance to the idea, it is possible to motivate the guiding principles of the Minimalist Program in terms of evolutionary optimisation, especially if we allow the possibility that properties of language were selected for non-communicative functions and that redundancy is sometimes costly rather than beneficial