The pandemic has accelerated the adoption of remote Work-Integrated Learning (WIL) programs for Higher Education (HE) students, fostered by advances in digital technologies. Emerging as a new post-covid normal, the ‘remote workplace’ and remote WIL brings further challenges with students expressing anxiety in dealing with this new form of working environment. Having the capacity to talk about wellbeing issues with others is an important wellbeing literacy (WL) skill. This paper addresses the need for a better understanding of wellbeing literacy (WL) skills in remote WIL workplaces. Interpreting WL in remote settings can further the definition of WL by extending it to a digital context.   In contributing to Computer-Supported Cooperative Work (CSCW) research and the emerging field of WL, this paper explores how WIL students develop WL skills in a remote setting, which we define as Digital Wellbeing Literacy (DWL). In-depth interviews were held with WIL academics, WIL professionals, WIL students and wellbeing experts on digital and pedagogical factors that support WL in remote work. We found that students proactively use digital communication tools and social media to communicate wellbeing concerns, which in turn helps them practice DWL. We propose four strategies toward improving DWL in HE WIL offerings.

Functional programming supports the idea of reusing existing diction components to build a new fQnction component through features such as higher-order functions and parametric polymorphic functions. Retrieving fhnctions is an important process for function reuse. This poster addresses the problem of diction retrieval using types and of organizing the function library.There have been proposed methods of searching for fonctions by using types of the dictions as search keys [ 1,2,3, 4, 51. Runciman and Toyn [4] presented a method of retrieving a function using the type of the function implicitly formulated from the contexts. In [2, 31 Rittri described type-based retrieval methods in which the type of the desired fimction is explicitly formulated and the argument order of the desired function does not have to be provided by the user. Zarcmski and Wing [S] extended the retrieval by types to modules and to a variety of matches. All the above methods deal with the retrieval problem from an unstructured library. In [l] Park and Ramjisingh presented a method of structuring function components in a reuse library based on potential reusability among functions, and described a type-based retrieval method from the hierarchically structured library. Two kinds of reusability among l5nctions were considered: reuse by type substitution and by argument substitution. The retrieval is more efficient thau the unstructured library baaed retrieval. The user can also browse the structured library via the reusability links as an aid in finding reusable functions. However the user specifies the order of arguments of the desired function.In this poster we propose a method of structuring a function library aud an efficient type-based retrieval method based on the structured library. In searching for functions, the argument order of the diction needs not have to be given by the user as in [2, 31. Our method is based on an extended notion of regular types called set types in order to capture all the functions of the same type by ignoring the order of arguments. For example, an extended set type {list(inr), int) -> list(inr) contains the types list(int)-> int -> list(int) and int->list(inr)->list(int).Suppose that the user wants to retrieve fitnctions with two arguments (the argument order is not important) such that the type of one of the argument is fist(int) and the other argument's type is int, and the retum type is list(int). The user provides flist(int), int) -> list(int) (or equally {int, list(ingj -> list(int)) as the type of the desired function.

No abstract