Teacher Roles and Students Responses Implemented in a Senior High School in Surabaya

In this study, the writer would discuss some types of teacher roles which can be implemented in the classroom. The purpose of this study was to find out the types of teacher roles applied in the conversation class and the students responses. The subject of this study was a teacher who teaches a conversation class to senior high school students. The writer used the theories about types of teacher roles by Harmer (2001 and 2007) and Edge&Garton (2007) and students responses by Brown (2007). The writer used classroom observation and video recording to collect the data. In addition, the writer recorded two meeting. The findings revealed that there were six types of teacher roles and five types of students responses applied in this class. The teacher roles are controller, organizer, assessor, resource, observer, and motivator which played based on their functions. The five responses were specific, choral, open-ended, off task, and silence responses. From this study, it could be concluded that the teacher played the five types of teacher roles to engage the active participant from the students shown through the students responses

NLP2Code: Code Snippet Content Assist via Natural Language Tasks

Developers increasingly take to the Internet for code snippets to integrate into their programs. To save developers the time required to switch from their development environments to a web browser in the quest for a suitable code snippet, we introduce NLP2Code, a content assist for code snippets. Unlike related tools, NLP2Code integrates directly into the source code editor and provides developers with a content assist feature to close the vocabulary gap between developers' needs and code snippet meta data. Our preliminary evaluation of NLP2Code shows that the majority of invocations lead to code snippets rated as helpful by users and that the tool is able to support a wide range of tasks.Comment: tool demo video available at https://www.youtube.com/watch?v=h-gaVYtCznI; to appear as a tool demo paper at ICSME 2017 (https://icsme2017.github.io/

Toward an Aesthetics of New-Media Environments

In this paper I suggest that, over and above the need to explore and understand the technological newness of computer art works, there is a need to address the aesthetic significance of the changes and effects that such technological newness brings about, considering the whole environmental transaction pertaining to new media, including what they can or do offer and what users do or can do with such offerings, and how this whole package is integrated into our living spaces and activities. I argue that, given the primacy of computer-based interaction in the new-media, the notion of ‘ornamentality’ indicates the ground-floor aesthetics of new-media environments. I locate ornamentality not only in the logically constitutive principles of the new-media (hypertextuality and interactivity) but also in their multiform cultural embodiments (decoration as cultural interface). I utilize Kendall Walton’s theory of ornamentality in order to construe a puzzle pertaining to the ornamental erosion of information in new-media environments. I argue that insofar as we consider new-media to be conduits of ‘real-life’, the excessive density of ornamental devices prevalent in certain new-media environments forces us to conduct our inquiries under conditions of neustic uncertainty, that is, uncertainty concerning the kind of relationship that we, the users, have to the propositional content mediated. I conclude that this puzzle calls our attention to a peculiar interrogatory complexity inherent in any game of knowledge-seeking conducted across the infosphere, which is not restricted to the simplest form of data retrieval, especially in mixed-reality environments and when the knowledge sought is embodied mimetically

Multipurpose Interactive NASA Information Systems (MINIS)

The Multipurpose Interactive NASA Information System was developed to provide remote, interactive information retrieval capability for various types of data bases to be processed on different types of small and medium size computers. Use of the system for three different data bases is decribed: (1) LANDSAT photo look-up, (2) land use, and (3) census/socioeconomic. Each of the data base elements is shown together with other detailed information that a user would require to contact the system remotely, to transmit inquiries on commands, and to receive the results of the queries or commands

Some Notes on John Zorn’s Cobra

Historical, analytical, and critical overview of John Zorn's celebrated file-card composition, Cobra

Holistic recommender systems for software engineering

The knowledge possessed by developers is often not sufficient to overcome a programming problem. Short of talking to teammates, when available, developers often gather additional knowledge from development artifacts (e.g., project documentation), as well as online resources. The web has become an essential component in the modern developer’s daily life, providing a plethora of information from sources like forums, tutorials, Q&A websites, API documentation, and even video tutorials. Recommender Systems for Software Engineering (RSSE) provide developers with assistance to navigate the information space, automatically suggest useful items, and reduce the time required to locate the needed information. Current RSSEs consider development artifacts as containers of homogeneous information in form of pure text. However, text is a means to represent heterogeneous information provided by, for example, natural language, source code, interchange formats (e.g., XML, JSON), and stack traces. Interpreting the information from a pure textual point of view misses the intrinsic heterogeneity of the artifacts, thus leading to a reductionist approach. We propose the concept of Holistic Recommender Systems for Software Engineering (H-RSSE), i.e., RSSEs that go beyond the textual interpretation of the information contained in development artifacts. Our thesis is that modeling and aggregating information in a holistic fashion enables novel and advanced analyses of development artifacts. To validate our thesis we developed a framework to extract, model and analyze information contained in development artifacts in a reusable meta- information model. We show how RSSEs benefit from a meta-information model, since it enables customized and novel analyses built on top of our framework. The information can be thus reinterpreted from an holistic point of view, preserving its multi-dimensionality, and opening the path towards the concept of holistic recommender systems for software engineering