Spesifikasi User Requirement E-Learning Bahasa Inggris Menggunakan Metode Kano

Tantangan utama dalam perguruan tinggi adalah menciptakan sebuah lingkungan belajar yang menyediakan mahasiswa dengan kemampuan kognitif untuk melakukan analisis, sintesis dan membuat kesimpulan atas topiknya. Lingkungan belajar dapat diubah dari yang berfokus pada pengajar menjadi kombinasi dari learner, knowledge dan assesment-centered, sehingga tercipta kolaborasi belajar siswa yang mendorong terwujudnya komunitas yang berkompeten sesuai sasaran jurusannya. Penelitian ini berfokus pada penyusunan user spesifikasi E-learning Bahasa Inggris dengan menggunakan Metode Kano sebagai alat bantu proses belajar yang kolaboratif (Collaborative Learning). Penelitian ini bertujuan untuk menghasilkan spesifikasi yang berkarakteristik Attractive, Must-be, One-dimensional, Indifferent, Reverse, dan Questionable. Metodologi penelitian yang digunakan yaitu model Waterfall. Model Waterfall atau sering juga disebut Model Sekuensial Linear mengusulkan sebuah pendekatan kepada perkembangan perangkat lunak yang sistematik dan sekuensial yang mulai pada tingkat dan kemajuan sistem pada seluruh analisis, desain, kode, pengujian dan pemeliharaan. Hasil penelitian menunjukkan bahwa prioritas pembuatan fitur-fitur aplikasi e-learning Bahasa Inggris adalah: polling, login, jadwal lab bahasa, forum, search engine, link, warna cerah, kuis online, chatting, informasi matakuliah, latihan online, sarana komunikasi, informasi nilai, download modul, dan aksesibilitas.

Automatic summarisation of discussion fora

Web-based discussion fora proliferate on the Internet. These fora consist of threads about specific matters. Existing forum search facilities provide an easy way for finding threads of interest. However, understanding the content of threads is not always trivial. This problem becomes more pressing as threads become longer. It frustrates users that are looking for specific information and also makes it more difficult to make valuable contributions to a discussion. We postulate that having a concise summary of a thread would greatly help forum users. But, how would we best create such summaries? In this paper, we present an automated method of summarising threads in discussion fora. Compared with summarisation of unstructured texts and spoken dialogues, the structural characteristics of threads give important advantages. We studied how to best exploit these characteristics. Messages in threads contain both explicit and implicit references to each other and are structured. Therefore, we term the threads hierarchical dialogues. Our proposed summarisation algorithm produces one summary of an hierarchical dialogue by ‘cherry-picking’ sentences out of the original messages that make up a thread. We try to select sentences usable for obtaining an overview of the discussion. Our method is built around a set of heuristics based on observations of real fora discussions. The data used for this research was in Dutch, but the developed method equally applies to other languages. We evaluated our approach using a prototype. Users judged our summariser as very useful, half of them indicating they would use it regularly or always when visiting fora.