The user experience of our daily interactions is increasingly shaped with the aid of AI, mostly as the output of recommendation engines. However, it is less common to present users with possibilities to navigate or adapt such output. In this paper we argue that adding such algorithmic controls can be a potent strategy to create explainable AI and to aid users in building adequate mental models of the system. We describe our efforts to create a pattern library for algorithmic controls: the algorithmic affordances pattern library. The library can aid in bridging research efforts to explore and evaluate algorithmic controls and emerging practices in commercial applications, therewith scaffolding a more evidence-based adoption of algorithmic controls in industry. A first version of the library suggested four distinct categories of algorithmic controls: feeding the algorithm, tuning algorithmic parameters, activating recommendation contexts, and navigating the recommendation space. In this paper we discuss these and reflect on how each of them could aid explainability. Based on this reflection, we unfold a sketch for a future research agenda. The paper also serves as an open invitation to the XAI community to strengthen our approach with things we missed so far.
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L1 grammar teaching worldwide often takes the form of traditional grammar teaching with decontextualized parsing exercises and rules of thumb. Some researchers have proposed enriching such forms of grammar teaching by relating traditional grammatical concepts to underlying metaconcepts from linguistic theory. The merits of such an approach have become apparent in recent intervention studies, but the question remains how teachers perceive such forms of grammar teaching, which is of particular importance for curriculum development. The present study investigated Dutch teachers’ beliefs in focus groups and a national survey (N = 127). It is found that Dutch language teachers see important benefits of a metaconceptual approach to grammar teaching, particularly as a means to improve students’ grammatical understanding. However, results also indicate that while teachers may see clear pedagogical and conceptual advantages of working based on underlying metaconcepts, their own teaching practice appears to be much more traditional. This discrepancy is explained by assuming that contextual factors have a restraining effect on what teachers can or want to do in reality. Once such contextual factors no longer play a part, teachers’ views tend to be much more geared towards a metaconceptual approach. The paper concludes with some implications for future research.
Symposiumbijdrage conferentie EARLI SIG 14, 11-14 september 2018, Genève Learning across the contexts of school and the workplace is highly relevant to the VET-sector. This contribution analyses these cross-contextual learning processes with three key issues in mind: (1) guidance by vocational educators, (2) assessment of students’ development and (3) design of VET-learning environments. Guidance, assessment and overarching VET-curriculum designs form the basis for constructive alignment as an approach to optimize conditions for high quality cross-contextual learning processes. We used the theoretical framework of boundary crossing to clarify the complex, multilevel nature of these key issues.
